What this edition tells you
Remote backend engineering is back on this board. For weeks the remote roles here have been solutions engineers, support and customer facing work, and we have said so plainly each time rather than dressing it up. Today there is a real one: Fivetran is hiring a Staff Software Engineer to work on dbt Core, the open source engine tens of thousands of analysts and engineers run their data transformations through. It is posted Remote India, and the location field, the body and the tag all agree, which is not something we can say about every listing that carries a remote tag.
Which brings me to the other thing worth knowing today. Twilio posted two roles with the identical title, both tagged Remote in India, and they are not the same arrangement at all. One states in writing that it is remote and based in India across five named states. The other says it will be based in Twilio's India office. Same employer, same title, same day. This is exactly why we read the body instead of trusting the tag, and why the remote count below is five and not eight.
Here is today's complete edition in one place:
https://www.munotes.in/dailytechjobs/2026-08-06
No roles match that combination.
Added August 6, 2026
Asks for 1 to 3 years as a software engineer, developer advocate or in a technical content role, with real code shipped to real users. Strong Python, ideally TypeScript too. The posting weights public work heavily: a project, repo, blog, talk or demo, and says plainly that it cares about this more than credentials. You need genuine interest in speech, translation and large language models, particularly for Indian languages, though it does not ask for ML research experience. Clear writing is called out as core, not a bonus, because docs, tutorials, Discord replies and commit messages are all part of the job. Day to day: build end to end cookbook recipes that each ship with a working Open in Colab notebook, write blog posts, tutorials and quickstarts, present some of them as talks and livestreams, ship and document integrations, fix friction in the SDK and docs site, and track SDK installs, cookbook usage, error rates and integration adoption to tell the team what to build next. Nice to have: building with LLM, voice or speech APIs, open source contributions, speaking at meetups or conferences, or an existing developer audience. Location is Bengaluru. No office day count and no interview process are published. Honest fit note: this is developer relations, not core product engineering. If your goal is to spend your day building the model or the platform, this is not that job. If you like explaining hard things and being the first developer experience someone has with a product, it is a strong entry point, and the years bar is genuinely low for a company of this profile.
Asks for 2+ years of technical support or similar relevant experience. Full stack JavaScript support experience with the ability to troubleshoot server side code (Node.js, C#, Java or Python are named as a bonus) and client side JavaScript, with React.js a bonus. Also wanted: object oriented programming concepts, basic SQL and query writing, a good understanding of APIs, HTTP and RESTful services, network troubleshooting including TCP and UDP with the basics of SSL and TLS, and experience troubleshooting SIP, VoIP and IP telephony. High competency communicating complex technical issues to technical and non technical audiences by phone and email is required, not optional. Desired: serverless (Lambda) experience, native and mobile application expertise, contact centre product troubleshooting, and cloud solution troubleshooting. Day to day: address customer issues and feed customer input back to product and engineering, work with customer and partner developers on complex problems, resolve quality of service issues, collaborate over Slack and file JIRAs for reproducible bugs, and support customers on holidays. Location and shift reality, and read this part carefully: the posting states the role is remote and based in India, restricted to Karnataka, Maharashtra, Tamil Nadu, Telangana and Delhi. Twilio describes itself as remote first but says you may be asked to attend in person on an ad hoc basis. The role reports to a manager based in the Bengaluru office. Shift timings listed for APJ and EMEA coverage are 6:30 AM to 3:30 PM, 12:00 PM to 9:00 PM, 1 PM to 10 PM and 1:30 PM to 10:30 PM IST. Twilio states it uses AI to make hiring more efficient but that every hiring decision is made by a person. No interview stage list is published.
Asks for a Bachelor's degree in Computer Science, Engineering, Information Systems or a related technical field, and 2 to 4 years in software testing, quality assurance or software development. Working knowledge of the software development lifecycle, the software testing lifecycle and Agile methods is required, along with experience designing and maintaining automated test scripts. Day to day: design, develop, execute and maintain test cases and scripts for functional, regression, integration and system testing; build and extend automated tests for recurring scenarios and critical workflows; analyse requirements, specifications and user stories for coverage gaps; identify, document, prioritise and track defects through resolution and support root cause analysis with developers; validate features, enhancements, bug fixes and release candidates across web, mobile, APIs and platform applications; take part in sprint planning, backlog grooming, daily stand ups, retrospectives and release readiness discussions; maintain test documentation, test data and traceability; run API, database and end to end testing where needed; and mentor junior test engineers on execution, defect documentation and quality practice. The posting is explicit about autonomy level: you operate under general supervision, manage routine testing independently, and get guidance on complex technical issues, broader quality strategy and high risk release decisions. Location is the Chennai regional office. No office day count and no interview process are published. Tekion notes that current employees should apply through its internal board instead. Fit note: this is a balance of manual and automated testing, not pure SDET automation framework work. If you want to write only automation, read the duties again before applying.
Asks for 3 to 5 years in software development and a Bachelor's degree in Computer Science, Engineering or a related field. Required: proficiency in one or more modern programming languages, with Java, Python, JavaScript and C++ named as examples; experience with relational or NoSQL databases, REST APIs and cloud based services; a strong understanding of software architecture, testing practice and CI/CD pipelines; a demonstrated ability to solve technical problems and ship production ready work; and strong communication and collaboration skills. Day to day: design, develop and maintain software features and services across the application stack; write clean, efficient, documented code aimed at scalability and maintainability; contribute to design discussions on system architecture and component design; build and maintain unit, integration and end to end tests; gather requirements with cross functional teams; and troubleshoot production issues and support root cause analysis. The posting sets expectations plainly: you work on moderately complex problems independently, with minimal supervision on standard tasks, and need guidance only on highly complex or strategic issues. It also says the level is recognised for quality code and consistent delivery, which reads as a hands on delivery role rather than a design heavy one. Location is the Chennai regional office. No office day count and no interview process are published. Current Tekion employees are directed to the internal job board. Fit note: the language list is deliberately wide, so this is a good fit if you have solid fundamentals in any mainstream stack rather than a specific framework match.
Asks for proven experience as a data analyst or similar with a focus on product analytics, and 3 to 5 years of experience. Required: expert level SQL, strong experience with data visualisation tools and Tableau in particular, hands on experience with a cloud data warehouse such as Snowflake and a transformation tool such as dbt, and Python for analysis and scripting. The posting also asks for a proactive interest in applying AI to analytical work, which it repeats as a responsibility, so expect that to come up in interview. Added advantage: other BI tools such as Looker or Power BI, statistical analysis and machine learning, and familiarity with product analytics platforms such as Amplitude or Mixpanel. Day to day: design and build dashboards and reports in Tableau against key product metrics; build and maintain data models and pipelines in Snowflake and dbt; run in depth product analysis to find trends and improvement opportunities; write complex SQL and use Python for advanced analysis; work with product managers and engineers to understand what they need; explore ways to use AI and machine learning to extend the team's analytical capability; and communicate findings to technical and non technical audiences. Location is Bengaluru and the posting carries a hybrid tag, though it does not state a specific number of office days. Okta says onboarding begins with an immersive in person experience. No interview process is published. Fit note: expert level SQL is stated as a requirement rather than a preference, so treat that as the real bar.
Asks for 3+ years overall experience with deep understanding of email infrastructure such as mail user agents and message transfer agents. Required: good knowledge of RESTful technology and prior API work with the ability to solve cloud issues; a good understanding of SSL and TLS as encryption based internet security protocols and of SMTP as a communication protocol; network connectivity troubleshooting including TCP and UDP; high competency explaining complex technical issues to technical and non technical audiences by phone and email; excellent written and verbal communication; and strong task prioritisation and judgement of situational urgency. Knowledge of POP3, IMAP and Telnet is called a huge plus. Desired: advanced time management, working well under pressure, and building workflows that speed up troubleshooting while still following standard process. Day to day: address customer issues and pass customer input back to product and engineering, work with customer and partner developers and architects on complex problems, collaborate over Slack and file JIRAs for reproducible bugs, and contribute to internal knowledge bases and external technical resources. Location and shift reality: the board tags this Remote in India, but the description states the role reports to a manager and will be based in Twilio's India office. Shift timings for EMEA coverage are 12 PM to 9 PM or 1 PM to 10 PM IST. The role includes rostering on a five day week that may include one or both weekend days, in Monday to Friday, Tuesday to Saturday or Sunday to Thursday patterns. Twilio states it uses AI in hiring but that people make the decisions. No interview stage list is published. Fit note: this is specialist email infrastructure work. General support experience without the email protocol depth is unlikely to clear the bar.
Asks for at least 4+ years of development experience. Required skills as listed: JavaScript and TypeScript plus Python; OpenAPI and JAMstack architecture; a documentation framework such as DITA, Redocly, VuePress or similar; CI/CD tooling with GitHub, CircleCI, Vercel and Artifactory named; and hands on experience using generative AI tools for coding, workflow automation and tooling. Good verbal communication, comfort collaborating across teams, and Agile experience are also listed. A Bachelor's or Master's in Computer Science, Engineering or a related technical field, or equivalent work experience, is required. Desired: experience working with technical writers and knowledge of the documentation process, and localisation experience. Day to day: build, maintain and improve the documentation site infrastructure, CI/CD pipelines and release processes; support internal Builder Experience teams with structured authoring platforms and automation; keep technical writers unblocked; provide cross regional support to Builder Experience teams; and work with documentation tooling leads on user experience, content structure and versioning across multiple products and global audiences. Location and office reality is stated precisely, which is unusual and useful: Bengaluru, Karnataka, with a hybrid work mode of a minimum of two days onsite per week. Okta also says onboarding starts with an in person experience. No interview process is published. Fit note: judge this on whether developer experience and documentation infrastructure interests you. The engineering is genuine and the tooling is current, but you are building the platform that publishes the docs rather than the product the docs describe, and that is a different career track.
Asks for 4 to 6 years in data engineering or a closely related discipline and a Bachelor's degree in Computer Science, Engineering, Data Science or a related field. Required: hands on experience building and operating data pipelines on Databricks or an equivalent AI first data platform, and proficiency in Python and SQL. Day to day: design, develop and maintain data pipelines, data models and platform services across the bronze, silver and gold layers; write transformation logic in dbt and Databricks Delta Live Tables; contribute to data architecture discussions on pipeline design and data modelling; build and enforce data quality checks at every layer including schema validation, null checks, referential integrity and business rule assertions so problems are caught early rather than passed downstream; design pipelines for end to end reconciliation so row counts, aggregates and key metrics can be traced and validated from source systems to gold layer outputs; monitor and respond to data quality alerts, investigate anomalies and drive permanent fixes; maintain data quality SLAs and work with upstream data owners on source level issues; troubleshoot production pipeline failures; build analytical dashboards in Tableau or Databricks AI/BI for self serve use; and build and optimise Databricks Genie spaces for natural language querying of gold layer data. The posting also mentions using AI coding assistants to speed up pipeline development. Location is Bangalore HQ. No office day count and no interview process are published. Fit note: the emphasis on reconciliation and data quality SLAs is unusual and specific. Expect interview questions about how you prove a pipeline is correct, not just that it ran.
Asks for a BS in Computer Science, Electrical Engineering or another technical degree, or equivalent experience, and 4+ years of experience with the technology industry preferred. Required: strong phone presence and experience in a high volume customer interaction environment; a conscientious, dependable attitude with strengths in teamwork and communication; confident, articulate speaking and strong listening; the ability to collect data, identify problems, establish facts and draw valid conclusions; preparation and delivery of technical product and architecture presentations; an aptitude for learning new technology; the ability to work independently and proactively; and the ability to handle multiple tasks in real time scenarios. Preferred and helpful: knowledge of current and emerging storage architectures including FC, iSCSI, NAS, OSD and SAN; Salesforce experience; and knowledge of VMware, Windows, UNIX variants such as Linux and AIX, NFS file systems and network environments. Day to day: assist internal teams with configuration validation supporting sales opportunities; collect data for sales plays and lifecycle management programmes; use established sizing tools to propose product performance solutions; take part in account planning; assist with solution designs and own simple ones; help prospects and customers with basic demonstrations, system configuration, feature adoption and technical questions; work across customer support, professional services, renewals, sales operations and order management; and drive technical account management across implementation and ongoing support. Location and office reality: Bangalore, and the posting states plainly that this is primarily an in office environment and you are expected to work from the Bangalore office except for leave or work travel. The listing carries an onsite tag. No interview process is published. Note the coverage region is ANZ, so expect working hours weighted towards Australian time zones.
Asks for a Bachelor's degree (BS, BA or BE) and 4 to 6+ years of B2B professional experience, preferably in systems engineering, technical sales or customer facing technical roles. The posting also asks for enablement and coaching ability, described as a passion for teaching and empowering partners through training and tools, plus operational discipline and the ability to troubleshoot and adapt quickly to changing customer and partner needs. Note that the mentoring here is of partners, not of direct reports. Day to day: partner with the territory account executive and partner systems engineers on technical strategy and validate solutions through the sales cycle; review and guide complex solution designs, sizing, quotes and proposals while making partners more self sufficient; create Everpure Value Reviews and present them to customers; maintain customer satisfaction alongside the support organisation; deliver enablement to non named and developing partners; act as a technical advisor and troubleshooting resource for partners across the territory; drive adoption of internal tools and sales process alignment; build relationships with partner systems engineers, distribution account managers and partner technical managers; and organise technical workshops, bootcamps and enablement sessions. Location is Mumbai, which is worth noting because most of today's board is Bangalore. The employer states elsewhere in its postings that it is primarily an in office environment. No interview process is published. Fit note: the role is measured through deal progression and partner capability. That is normal for pre sales, but it is a different definition of success from shipping software, so go in knowing which one you want.
Asks for 5+ years working on a SaaS product. Required: experience with distributed systems, ideally in Golang, Python or Rust; experience with Kubernetes or containerised services; intellectual curiosity about investigating issues that affect business metrics; a focus on building robust, maintainable products in a fast paced team environment; strong communication with an interest in mentoring peers; and a Bachelor's degree in Computer Science or equivalent practical experience. Preferred: cloud infrastructure across AWS, Azure or GCP; experience building developer platforms, compute platforms, ML platforms or serverless and container execution environments; experience with frontend frameworks such as React; and prior experience mentoring engineers or leading technical projects. Day to day: design, build and maintain the platform powering internal and customer facing intelligent services on SingleStore; lead cross functional technical initiatives from conception to deployment while mentoring other engineers; work with product managers, designers, customers and engineers on delivery quality; drive engineering standards across system design, code quality, testing, observability and CI/CD; and share on call responsibilities while improving reliability, security and cost efficiency of the cloud infrastructure. Location is listed simply as India, with no city, office day count or interview process published. That vagueness is worth clarifying early, because the location field alone does not establish that the role is remote and the body does not state remote terms. Fit note: the mentoring language here is technical, with no reporting line, hiring or performance review responsibilities mentioned, so this reads as a senior individual contributor role.
Asks for 8+ years of deep technical understanding of hardware systems engineering, system level test deployment or high volume electronic manufacturing environments, including knowledge of factory qualification flows and enterprise hardware architectures. Required: proven proficiency developing, enhancing and scaling manufacturing test software or diagnostic scripts, with strong hands on coding in Python or a similar object oriented language; and advanced diagnostic capability targeting complex hardware and software interactions, test automation platforms and system level failures. Day to day: own new product introduction and sustaining test readiness by driving end to end manufacturing test strategy, test sequence definition and coverage validation across multiple hardware variants; independently lead technical triage and resolve complex system level test fallout during critical build phases; enhance and standardise the design for manufacturing test architecture by deploying reusable automation frameworks and consolidating test execution onto shared platforms to cut factory cycle times; and work with contract manufacturing partners and internal engineering through yield reviews to close readiness gaps, manage bonepiles and protect shipment schedules. The posting says you operate with high autonomy and collaborate with firmware, diagnostics and global factory teams. Location is Bangalore, and this employer states in its postings that it is primarily an in office environment. Expect coordination with factory teams in other time zones. No interview process is published. Fit note: this sits between hardware engineering and test automation. The right applicant has done board or system level test in a manufacturing setting and can also write maintainable Python. Neither half alone is likely to be enough.
Requires 5+ years of professional experience building and operating production grade software, with mastery of at least one major backend language. Day to day: architect, develop and scale high throughput, low latency ingestion pipelines and backend services for database metrics, slow query logs, execution plans and telemetry; develop lightweight agents and collectors that safely extract telemetry and execution statistics from diverse relational and NoSQL engines under high load; design engines that automatically detect slow queries, index fragmentation, schema anti patterns and resource exhaustion and turn them into actionable recommendations; build AI agents using agentic AI, Model Context Protocol and LLMs for automated root cause analysis, natural language database querying and autonomous incident investigation; write backend services and APIs in REST and GraphQL and connect diagnostics into React and TypeScript workflows; design event driven architectures and streaming data flows with Apache Kafka; own code from commit to production in a DevOps model while using AI assisted coding tools, with Claude Code, Cursor and GitHub Copilot named explicitly; and conduct code reviews, write unit tests and troubleshoot performance and reliability. Location is Hyderabad. Be careful with the remote wording here: New Relic's boilerplate mentions flexible hours, remote work opportunities and a mix of office based, fully remote and hybrid workplaces, but this is general company language and the posting does not state remote terms for this role. Treat the Hyderabad location as the working assumption and confirm on the first call. No interview process is published beyond a note that hires must verify identity and eligibility to work. Fit note: the breadth is real. Expect to move between agent code, pipelines and AI workflows rather than specialising.
Asks for a BS or MS degree and 5 to 8 years of experience in the security domain. Required: strong hands on automation skills in BASH and Python; practical expertise using AI tools to accelerate engineering and operations; familiarity with modern SaaS infrastructure and application development; familiarity with major security protocols; and collaboration, transparency and integrity. Day to day, as listed: security monitoring and detection engineering; vulnerability management and remediation coordination; security tooling administration and improvement; platform and image hardening initiatives; compliance supporting security controls; and security automation, playbooks and operational readiness. The role works closely with engineering, infrastructure and compliance functions. Specific technologies named in the posting: Panther, Wazuh, RapidFort, hardened images, PCI scanning, egress alerting, backup automation and playbook development. The posting describes the environment as a fast paced startup and asks for a strong desire to learn new technologies. Location is listed only as India, with no city given. Yugabyte notes that its team spans more than 12 countries and multiple time zones, but the posting does not state remote terms for this role, so confirm the working arrangement before assuming. No office day count and no interview process are published. Fit note: the title says Senior Software Engineer but every responsibility is security. If you apply expecting database internals work, you will be disappointed, and if you are a security engineer scanning titles for engineering roles, you might otherwise have skipped this one entirely.
Asks for 5 to 8 years in a DevOps, site reliability or infrastructure engineering role. Required: deep internals knowledge of Kubernetes with hands on experience writing custom operators; strong experience building production grade tools and services for infrastructure automation; an operations heavy mindset with a proven track record of day one and day two operations for a large scale Kubernetes fleet, handling high severity incidents and improving SLA compliance through automation; multi cloud experience including cloud native tooling and OS migrations; and the ability to lead projects in what the posting calls a Captain role, giving technical direction and unblocking teammates across time zones. Bonus points: basic ability to read and navigate Golang; advanced autoscaling and efficiency work with tools such as Karpenter; hands on Terraform or Crossplane and Cluster API; deploying and managing platform infrastructure with Argo CD; and strong working knowledge of AWS and Azure. Day to day: drive design and implementation of internal tools, specifically Kubernetes operators and controllers that automate resource management; lead complex, large scale infrastructure shifts; and own incident response, author retrospectives and implement systemic hardening using advanced overcommit strategies. Location is Bangalore. The same caution applies as on New Relic's other listing: the company boilerplate mentions office based, fully remote and hybrid options, but the posting does not state remote terms for this role. No interview process is published. Fit note: the Captain framing means leading deliverables and mentoring juniors, with no reporting line or hiring responsibility mentioned, so this reads as senior individual contributor work.
Asks for 5+ years of hands on experience in solutions and implementation consulting. Required: working knowledge of integrations, system design principles and app integration industry trends; working knowledge of SQL, on premises and cloud deployment models and the full software development lifecycle; experience with at least one integration platform as a service, with Workato, Tray, TIBCO, Boomi, MuleSoft, WebMethods and Oracle Integration Suite named; and the ability to produce quality technical documentation. Plus points: JavaScript frontend or backend experience, and OEM, embedded SaaS or iFrame integration. The posting lists competencies explicitly. Integration development means independently building multi step integrations across enterprise applications, applying authentication, error handling, version control and reusable components, and taking part in CI/CD and peer code review. Solution architecture and system design means performing gap analysis and designing end to end workflows. Day to day: onboard new customers with technical consulting, guidance and enablement that drives fast time to value; gather integration and automation requirements and lead solution design jointly with customer stakeholders; share best practice on deployment models, governance and integration design and feed platform input back to product and engineering; act as a trusted advisor and customer advocate; run post onboarding health checks and advise on optimisations; contribute reusable presentations, demos, best practices, architecture patterns and online courses; and manage multiple concurrent projects. Location is Bangalore. Ignore the remote signal here: Workato's boilerplate quotes a ranking as a best company for remote workers, but that is a company accolade and the posting states no remote terms for this role. No interview process is published.
Asks for a minimum of 5 years of working experience in identity and access management or a related SaaS field as a pre sales engineer. Required: ability to work in the Eastern Time Zone, listed first among the requirements; experience working with REST APIs and SDKs; the ability to communicate complex ideas and solutions using whiteboarding, practical examples and product demonstrations; experience in a customer facing role such as consulting, customer support or pre sales; and strong empathy, listening and time management. Expertise or hands on experience across identity and access management, single sign on, multi factor authentication, passwordless authentication, universal directory, privileged access and device access is preferred. Day to day: support customers through the sales journey by demonstrating the value of Okta technology in live demonstrations and presentations; sell directly to IT managers, developers, product managers and occasionally senior executives across industries; focus on Okta Workforce Identity and model how it supports a customer's architecture and use cases; execute well defined, outcome focused proofs of concept; maintain broad and deep technical understanding of the product line and underlying protocols; and occasionally present at local and regional events. Location is Bengaluru and the listing carries an onsite tag. Combined with the Eastern Time Zone requirement, plan for onsite night shifts. No interview process is published. Fit note: this is the pre sales track, not engineering. It pays well and builds deep product and customer skills, but the working hours are the thing to weigh honestly here, because a US time zone requirement is a lifestyle decision rather than a detail.
Asks for 6+ years of software development experience with fluency in C and C++, and demonstrated expertise in Linux and Unix kernel development. The minimum qualifications also open with a foundational understanding of AI and machine learning technologies and experience leveraging, securing or positioning AI driven solutions within your domain, which Zscaler now includes across its postings. Day to day, as listed: collaborate with a team of engineers to design, build and deliver a zero trust cybersecurity product as part of the wider cloud security platform; write production quality code in C and C++ for Linux based systems; and diagnose, troubleshoot and resolve issues in complex distributed systems. The posting describes the success profile it wants in detail: comfort with ambiguity, ownership and bias for action, the ability to move between high level strategy and hands on execution, and a growth mindset that seeks feedback. Zscaler frames its culture around impact over activity and constructive, honest debate. Location and office reality: this is stated as a hybrid role based in Bangalore, reporting to a Senior Manager in the engineering department. The number of office days is not specified. No interview process is published. Fit note: the responsibilities section is short and the qualification list is thin on framework specifics, which usually means the interview will focus on fundamentals. For a C and C++ systems role at staff level, expect memory, concurrency and debugging depth rather than framework trivia.
Asks for 6+ years of experience in data engineering. Required: strong expertise in Python, SQL and Apache Spark; experience building scalable batch and real time ETL and ELT pipelines; hands on experience with AWS services including EMR, S3, Glue and Athena; experience with Kafka, Flink or Kinesis for streaming; strong knowledge of dimensional modelling, Data Vault and data warehousing concepts; and experience with Delta Lake, Apache Iceberg or Apache Hudi. The responsibilities section also lists: strong experience designing and building scalable data platforms, data warehouses and lakehouse architectures; deep expertise in data modelling including dimensional modelling, Data Vault and enterprise data architecture principles; advanced SQL with query optimisation, performance tuning and large scale data processing; hands on experience with distributed processing frameworks such as Apache Spark; experience designing and implementing batch, streaming and change data capture based ingestion pipelines; proficiency in Python or Scala; and experience with workflow orchestration platforms such as Airflow. The posting frames the work as building the enterprise data foundation behind analytical products, operational insight and AI features, and describes a modernisation from batch oriented processing to near real time and real time ingestion. Multi tenancy, tenant isolation and governance across thousands of dealerships are called out as the hard part. Location is Bangalore HQ. No office day count and no interview process are published. Fit note: if you have only built pipelines inside someone else's platform, the multi tenant isolation and modelling requirements are where this interview will go.
Asks for 6+ years of experience, preferably at a product company. Required: extensive hands on experience in Go, Python, C++ or Java on Unix, Linux or Windows; excellent programming skills with data structures, algorithms and design concepts; strong experience with service oriented architecture; hands on experience with generative AI based development using extensive prompts and preferably spec based development, with Cursor and Gemini named, and the posting states directly that vibe coding or peripheral AI chat does not qualify; experience with microservices; and experience with cloud technologies, preferably AWS. Third party API integration at scale is preferred. Desirable: excellent written and verbal communication, familiarity with Agile methods such as Scrum, knowledge of the SaaS or backup domain, and working knowledge of Docker and Kubernetes. Day to day: own the design, implementation and maintenance of software modules for a team, focused primarily on backend server side components and on performance and responsiveness to frontend requests; design and implement large, complex features and architectural improvements; propose solutions to complex design problems; identify engineering improvements; and guide and mentor junior team members through code and design review. Location is Pune, which is worth noting given how Bangalore heavy this board usually is. No office day count and no interview process are published. Fit note: the mentoring described is through code and design review with no reporting line or hiring duty, so this is a senior individual contributor role despite the Senior Staff title.
Asks for at least 6+ years of experience building applications in high level programming languages, especially JavaScript, and the posting notes Postman primarily codes in JavaScript. Also wanted: experience with cloud computing and distributed systems, having worked on customer facing systems at scale; solid knowledge of database fundamentals and data storage principles; and a fair understanding of frontend technologies, networking and analytics. Day to day: contribute to the development of APIs and products alongside product managers, designers and engineers from support, quality, security and platform; rapidly build functional prototypes for internal and external use cases; provide technical leadership and mentorship to other engineers; contribute to roadmap planning with stakeholders; lead the architecting and design of collection systems; own the maturation of existing systems by defining initiatives that improve functionality, reliability and performance; and identify and champion architectural improvements. Location and office reality, and this is the part to weigh: the role is in Bengaluru. Postman states it values in person collaboration and is in office five days a week for roles based at its hubs in San Francisco Bay Area, Boston, Austin, New York City, Tokyo and London. For Bangalore based roles, the posting says employees currently work in the office three days a week and will move to five days per week by the end of the year. If a five day office week does not work for you, this is a clear no rather than something to negotiate later. No interview process is published. Fit note: the mentorship and roadmap language sits alongside hands on prototyping and architecture ownership, with no people management duties listed.
Asks for 6+ years of professional software development experience with a focus on building and operating backend systems in production. Day to day: dive into the dbt Core execution engine and use systems expertise to identify, debug and eliminate performance bottlenecks in the Python codebase; architect and implement improvements to the adapter interface, the layer connecting dbt to a growing ecosystem of databases and data platforms; lead technical design discussions and contribute to the long term architectural roadmap for dbt Core, making decisions about what, how and when to build for scalability and reliability; and take ownership of critical systems and ambiguous, open ended problems. The team is described as the stewards of the open source engine behind the modern data stack, a small, high trust group of systems engineers responsible for the performance, reliability and architectural integrity of dbt itself, owning both the core execution engine and the adapter framework. Location and working arrangement: the listing is posted as Remote, India, APAC, and the body describes a remote first, asynchronous friendly environment that values deep work, clear written communication and a high degree of autonomy. It also carries an explicit remote tag. Unlike several other listings in today's edition, this one is consistent across the location field, the body and the tag, which is why we are comfortable calling it remote. No office day count, no state restriction and no interview process are published. Context worth knowing: the posting explains that Fivetran and dbt Labs are integrating teams, systems and career sites, so you may see both names during the recruiting process. That is expected here rather than a red flag. Fit note: this is open source stewardship. Your work is public and used by a large community, which is a strong portfolio position but also means high scrutiny on design decisions.
Asks for 6+ years of experience in a technical, customer facing role, with solutions engineering, data engineering or a technical post sale or consulting function all named as acceptable backgrounds. That breadth matters: a data engineer moving into a customer facing seat is explicitly in scope. Day to day: act as the senior technical specialist account managers call on for complex customer conversations including architecture reviews, expansion discussions and senior level technical engagements; engage credibly with CTOs, senior engineers and data architects as a thought partner, understanding their architecture, challenging assumptions, co designing pipelines and offering a point of view; lead technical discovery and solution design for enterprise customers evaluating new use cases, migrations or architectural changes; translate complex customer requirements into guidance for both the customer and Hevo's engineering team; build and maintain deep expertise in the modern data stack including cloud data warehouses, orchestration and transformation; identify expansion opportunities through technical engagement and hand them to the account manager with context; and contribute to internal knowledge. Location is Pune. No office day count and no interview process are published. Fit note: the posting is honest that this role supports commercial outcomes, including identifying expansion opportunities. That is normal for a post sales solution engineer, and it is better to see it written down than discovered later. If you want a role with no commercial dimension at all, this is not it. If you want to stay technical while working with senior customer stakeholders, it is a clean version of that job.
Asks for 7+ years of progressive software development experience with a proven track record designing and building macOS or iOS features using Swift. A Bachelor's degree in Computer Science or equivalent experience is required. Day to day: partner with product management, engineering directors and principal architects to translate business objectives into technical roadmaps; drive cross functional collaboration with product, design and QA; lead the design and implementation of new features and services, owning them from conception to deployment; act as a force multiplier across multiple teams by mentoring staff and senior engineers, guiding technical design reviews and raising the engineering bar across the pillar; raise standards through rigorous code review, comprehensive automated testing and modernised CI/CD pipelines; explore emerging areas including device security and AI native development paradigms and prototype solutions; and create and maintain high quality technical documentation. The posting uses the phrase player coach, which in this context refers to technical leadership and mentoring rather than line management. No reporting line, hiring or performance review responsibilities are listed, so we read this as a principal individual contributor role. Location is Bengaluru and the listing carries a hybrid tag. The number of office days is not stated on this particular listing, though another Okta role in today's edition specifies a minimum of two days onsite per week, which is a reasonable expectation to test. No interview process is published. Fit note: Swift and macOS or iOS depth is the hard requirement. Strong backend engineers without client platform experience are unlikely to clear this bar, and the reverse is also true, which is what makes the role worth flagging separately.
Asks for 7+ years of software engineering experience including strong hands on experience building frontend applications with React and TypeScript. Required: strong proficiency in JavaScript, TypeScript, HTML, CSS and modern frontend practice; a solid understanding of frontend architecture, state management, component design, performance optimisation and responsive UI; experience integrating with RESTful or GraphQL APIs in production; working knowledge of Node.js with the ability to contribute lightweight backend and API development; a strong understanding of frontend testing including unit and integration tests; experience debugging production issues; familiarity with containerisation and cloud environments such as Docker, Kubernetes, AWS or GCP; a good understanding of secure coding practice, authentication and authorisation flows and general web security; and experience mentoring junior engineers. Nice to have: Next.js or other modern React frameworks. Day to day: design, build and maintain scalable web applications; translate product and UX requirements into clean, reusable frontend architecture; build reusable UI components and shared libraries with attention to consistency, accessibility and performance; integrate with REST and GraphQL APIs alongside backend engineers; contribute to Node.js backend integrations for frontend facing use cases; optimise performance through lazy loading, code splitting, caching and rendering improvements; write production ready code with unit and integration tests; investigate and resolve production issues; and work with CI/CD pipelines, containerised environments and cloud deployments. Location is Bengaluru and the listing carries a hybrid tag, with no specific office day count. One practical note: zoominfo.com blocks automated requests, so we confirmed this posting is live through the employer's own applicant tracking API rather than by loading the careers page. The link is correct and the role was open at the time of publishing.
Asks for 7+ years in partner engineering or pre sales for data platforms, with analytics databases, OLAP, data warehousing, lakehouse and streaming all named. Required: hands on experience with at least one major cloud service provider among AWS, Google Cloud and Azure, with two preferred; strong SQL and analytics fundamentals with familiarity with columnar systems, ingestion tooling such as Kafka, change data capture and ETL, and observability stacks; a proven track record of partner enablement including building joint solutions, leading proofs of concept and creating technical content; and excellent communication and teaching skills, moving between whiteboard architecture sessions, live demos and executive level narratives. Bonus: experience with bring your own cloud or customer managed deployments in regulated APJ environments, open source contributions or developer facing content, and an entrepreneurial track record of building programmes from scratch. Day to day: co build and co sell with cloud service providers and regional system integrators through discoveries, hands on workshops and proofs of concept; develop repeatable enablement programmes including slides, demos, solution briefs and train the trainer sessions; package reusable solution playbooks for real time analytics, logs and observability, product analytics, IoT and AI features with total cost of ownership and performance guidance; support cloud marketplace listings, co sell mechanics and partner programme requirements; and present at partner events across India and APJ, feeding input back to product and engineering. Location and travel: the posting states the role is based in India and remote, and describes it as remote first within India with approximately 20 to 30 percent travel across India and APJ partner hubs. Take the travel figure seriously when weighing this against a desk based role. No interview process is published.
Asks for 7+ years of relevant experience as a solutions or systems engineer with a proven track record presenting technical information at business executive or architect level. Required: demonstrable experience with systems installation, configuration and administration on Unix, Linux and Windows based systems; proficiency in mobile device technologies including mobile device management and mobile application management across Android, iOS and Windows Mobile; knowledge of certificates, key management systems, hardware security modules and related protocols; and proven hands on experience with information security solutions including web proxy, next generation firewall, security gateways, SIEM, SAML and single sign on, and data loss prevention and data security technologies. The posting also asks for a track record of using that skill to help drive revenue. Day to day: build relationships with the key partner base and their systems engineers; own and drive technical enablement for assigned partners; educate customers on the trends driving cloud security needs and help the channel understand where Netskope fits; deliver demos, best practice sessions on use cases, deployments and workshops; provide on the job training by letting partner engineers shadow presentations and evaluation installations; help partners build evaluation test plans with customers; present at channel driven marketing activities; assist the selling effort to partner technical resources during new partner recruitment; work with channel partners to expand awareness and install base within existing accounts; and collaborate with other solutions engineers, sales teams and trainers. Location is listed only as India, with no city, office policy or interview process published. Clarify the base location early, since the location field alone does not establish that this role is remote. Fit note: the posting opens by describing the ideal candidate as a sales professional. The technical bar is real, but so is the commercial framing, and you should go in expecting both.
Asks for 9+ years of extensive programming experience in a modern programming language such as Go, Java or C++, especially in backend services, with Go called out as preferred, and 4+ years working with PostgreSQL or an equivalent relational database. A Bachelor's degree in Computer Science or equivalent is required, with a Master's preferred. The posting also asks for proven expertise using AI development tools, naming GitHub Copilot and Anthropic Claude, to accelerate the development lifecycle while maintaining code quality, and for strong computer science fundamentals in data structures and algorithms. Day to day: use AI pair programmers and LLMs to accelerate development of secure, enterprise grade privileged access management products; design, develop and deliver cloud based privileged access solutions with engineering teams; design, build and maintain end to end features using modern JavaScript and cloud native backend technologies; lead technical design for key initiatives, driving quality, scalability and maintainability; build reusable and performant UI components for a no code builder experience; drive evaluation, development and rollout of new features and common platform components; evolve existing systems for specialised circumstances; conduct design and code reviews accounting for scalability, redundancy and multi tenancy; write comprehensive unit and functional tests; monitor, troubleshoot and fix owned services and frameworks; resolve performance bottlenecks; provide technical guidance and mentorship to junior developers; and work with architects, QA, product owners, security and operations engineers. Location is Bengaluru and the listing carries a hybrid tag, without a stated office day count. No interview process is published. Fit note: this is titled fullstack but the experience requirement is written around backend services. Read the balance carefully if your strength is the frontend half.
Asks for 8+ years of experience building and managing large scale, business critical, high throughput stateful applications in the cloud on AWS or GCP. The posting looks for engineers passionate about database reliability, cloud automation and data integrity, and asks for excellent written and verbal communication with a comfort collaborating across time zones. Day to day: design, build and scale relational systems including Postgres, MySQL and Amazon Aurora, and NoSQL systems including Cassandra and MongoDB, to meet ingestion and analytical demand; lead large cross functional projects tackling friction in data persistence, migration and scaling; architect scale out strategies including evaluating and implementing sharding technologies; build automation and tooling using infrastructure as code to reduce toil and let product teams operate reliably and securely; collaborate with architects, product development and data science on requirements and distributed system design; and maintain and grow data resources by owning the production backbone including high availability solutions, backups and disaster recovery. Location and office reality: the posting states the location as India, hybrid, and says explicitly that this is a hybrid position requiring the ability to be onsite in the Bengaluru office as needed, and that candidates must be based in India. Note that the body separately describes a remote first culture, but the stated arrangement for this role is hybrid, so plan around Bengaluru. No interview process is published. Context worth knowing: the employer identity here comes from the job description text, which refers throughout to Clari and Salesloft as a combined company. Expect both names during recruiting. Fit note: this is a technical leadership seat within an infrastructure team, described as an experienced backbone providing automation, capacity planning and database platform management, with no people management duties listed.
Asks for 8+ years in platform infrastructure engineering with a shift towards AI application development. Required: strong proficiency in Python for AI logic and Go for platform tools; practical experience with retrieval augmented generation, prompt engineering and integrating LLM APIs, with OpenAI, Anthropic and local models via Ollama named; the ability to design and implement high performance Go services listening to Kafka or RabbitMQ streams to trigger dynamic infrastructure scaling; experience managing and optimising infrastructure for vector databases and distributed caches such as Redis for high availability RAG data; the ability to replace shell scripts with robust, type safe internal tooling in Go for environment provisioning and disaster recovery; deep Kubernetes experience specifically managing GPU workloads and specialised storage for vector databases; proven experience with Kafka or RabbitMQ for high volume streams; and observability using Prometheus and Grafana for both system health and AI specific metrics such as token latency and model drift. The posting also asks for expertise in high concurrency systems, specifically using Go goroutines and channels to handle large numbers of concurrent operations, and a code first mindset that treats infrastructure problems as software problems. Day to day: create internal APIs and abstractions for self service provisioning of AI ready environments; build internal tools and AI agents in Go and Python that automate root cause analysis and optimise infrastructure; build asynchronous AI processing pipelines such as long running document ingestion for RAG; and ensure reproducible golden path deployments with Docker and Kubernetes so model, prompt and code stay synchronised across environments. Location is Bangalore, and this employer states in its postings that it is primarily an in office environment. No interview process is published.
Asks for 8+ years of professional experience and 4+ years of sales engineering or solution consulting experience in a SaaS organisation. Required: demonstrated ability to adapt to new technologies and learn quickly and independently; excellent communication across varied audiences with a knack for compelling presentations and product demonstrations; familiarity with the enterprise SaaS ecosystem; experience positioning technology pre sales and implementing it post sales; and experience as a frontend developer with familiarity with enterprise DevOps tools. Added plus: experience using or working with Figma or other UX and UI experience, and actively using AI to convert Figma designs to code. Day to day: present the vision of the Figma platform and guide customers to value through demonstrations and presentations; go deep technically with engineering and product audiences on how the technology works and how it accelerates digital product delivery; identify market trends and feed them to the product team; own the customer IT and security relationship during the deal cycle by addressing security questionnaires, RFIs, RFPs, and identity and enterprise questions; strengthen Figma's security reputation by understanding customer concerns about data access and working with product and legal to resolve findings; design and scale technical sales efforts; and create content for customers and internal partners. Location is Bengaluru and the posting states this is a full time role based out of the India office. No interview process is published. Worth knowing: Figma includes a note encouraging people to apply even if their experience does not align perfectly with every point, framed around its Grow as you go value. That is boilerplate at many companies, but combined with a first in region role it suggests some flexibility on the exact profile. Fit note: the security questionnaire and compliance side is a large part of this job. If that work bores you, the demos and architecture conversations will not make up for it.
Asks for 8 to 12+ years in payments, banking technology or fintech, with meaningful time in platform or infrastructure engineering. Required payments domain knowledge: deep understanding of UPI, IMPS, NEFT and RTGS including bank side processing pipelines, settlement cycles and failure taxonomy, plus hands on experience building and operating bank integrations at scale. Required technical skills: distributed systems with consistency, idempotency and failure handling at high throughput; APIs and event driven architecture including Kafka, queue based retry, dead letter handling and exactly once semantics; and observability covering metrics, distributed tracing and structured logging with Prometheus or Grafana or equivalent. Day to day, grouped as the posting does: platform reliability, owning success rate, latency and availability as primary indicators, driving structural fixes rather than patches, defining service level objectives per bank corridor, and building observability frameworks, with AI driven anomaly detection and LLM assisted root cause analysis to reduce mean time to recovery. Banking ecosystem and partner engineering, acting as primary technical counterpart to bank engineering teams, driving API design, architecture reviews and joint service level agreement sessions, standardising onboarding playbooks and identifying straight through processing opportunities. Platform strategy and architecture, building reusable bank agnostic integration layers rather than one off implementations, driving decisions on retry strategies, circuit breakers, idempotency and queue design, and owning the 12 to 24 month technical roadmap for the banking integration layer. Plus cross functional work with engineering, banking partnerships, operations, finance, compliance and merchant success. Location is Bengaluru. No office day count and no interview process are published. Fit note: the posting says explicitly that this is a hands on IC role, which resolves the usual ambiguity around architect titles.
Asks for 10+ years of relevant experience in software development and architecture with a focus on building platforms or large scale systems, plus a Bachelor's or Master's degree in computer science, software engineering or a related field. Experience building event driven applications at scale is stated as a requirement. Day to day: lead the architecture and design of the integration and system integrator platforms, keeping them aligned with business objectives and technical strategy; define and promote architectural patterns, best practices and standards across the engineering organisation; work with development teams to translate business requirements into robust, scalable, modular solutions; evaluate and select technologies, frameworks and tools; oversee integration with internal and third party systems, ensuring data integrity and performance; conduct architecture reviews and provide technical guidance through the development lifecycle; identify and address potential bottlenecks, vulnerabilities and system failures; maintain documentation of architecture, processes and best practices; track emerging technologies and evaluate their impact on the platform; and mentor and coach engineering teams on architectural principles. The posting describes the role as responsible for high level design, development and evolution of scalable software platforms supporting multiple products, working across engineering, product and operations to define technology standards. Location is Bangalore HQ. No office day count and no interview process are published. Current Tekion employees are directed to apply through the internal board. Fit note: mentoring and coaching engineering teams here is architectural guidance, with no reporting line, hiring or performance management listed, so we read this as a senior individual contributor architect role. If you want a role where you still write production code daily, ask about the split early, because platform architect roles vary widely on that point.
The posting publishes no years of experience figure anywhere, which is why our experience field is empty. It asks instead for demonstrated depth. Required: proven experience in SSD device firmware development with a deep understanding of NAND flash characteristics and translation layers; advanced proficiency in C and C++ for embedded environments and Python for automation frameworks and diagnostic tools; and hands on hardware interfacing experience. Day to day: architect and implement firmware for the DirectFlash SSD modules in C and C++, focused on high performance NAND media management and data path optimisation; lead hardware bring up for next generation components and system on chip features, ensuring integration between custom hardware and low level firmware; develop simulation environments and failure analysis tools in Python to identify, debug and resolve complex system level bottlenecks; automate internal development workflows including continuous integration and automated unit testing to maintain firmware maturity and release velocity; and partner with hardware and system software teams to define proprietary media management algorithms that extend the life and performance of NAND technologies. The posting frames the role as sitting at the intersection of hardware and software, developing the logic that lets custom enterprise storage devices outperform standard SSDs, and says it directly affects the cost and scalability of the company's platform. Location is Bangalore, and this employer states in its postings that it is primarily an in office environment. No interview process is published. Fit note: this is specialist embedded work. If you have done SSD or flash firmware, there is very little competition for you in the Indian market and this is a strong seat. If you have not, general embedded C experience alone is unlikely to be enough, because the NAND and translation layer knowledge is the whole job.
Asks for 12+ years in data engineering, data science, technical architecture or a similar pre sales or consulting role, and 8+ years of hands on experience with big data and AI technologies including Apache Spark, data engineering, data science and modern AI and machine learning workloads. Day to day: act as trusted technical advisor for one or more named strategic accounts, building durable relationships with their data, AI and machine learning and platform engineering leaders; help shape the customer's AI strategy by working with their data science, machine learning and AI platform teams to design GenAI and machine learning architectures, evaluate build versus buy decisions and move AI ambitions into production; partner with the sales team and provide hands on technical leadership for large enterprise customers across the data and AI lifecycle; consult on modern lakehouse architectures and implement proofs of concept for strategic projects spanning data engineering, data warehousing, machine learning and GenAI, including validating integrations with cloud services, in house tools and third party applications; guide customers through the competitive landscape, best practices and implementation while developing technical champions; and work with the sales team to develop a book of business and define and execute account strategies. The role reports to a Field Engineering Manager and works with product and engineering to influence the Databricks roadmap. Location is Pune, which is a useful data point given how much of this board sits in Bangalore. No office day count and no interview process are published. Fit note: this is a customer facing field engineering role with a book of business and account strategy attached, alongside genuine architecture work. That combination suits people who want to stay deeply technical while working commercially. It does not suit someone looking to write production code every day, and the posting does not pretend otherwise.
Asks for a B.Tech, BE or higher in Computer Science, Engineering or a related field, and 15+ years of total relevant experience in enterprise software architecture, design and implementation. Also required: 8+ years of hands on experience with integration platforms, with MuleSoft, TIBCO, Oracle SOA and webMethods named as examples, and deep familiarity with integration platform as a service architecture patterns described as essential; and 2+ years of applied AI and agents engineering experience, specifically building systems that use LLMs and agent frameworks and orchestrating them into production. The two mandates as the posting states them. First, AI field specialist, customer facing: work directly with enterprise customers and prospects in pre sales and post sales engagements to define and architect their AI strategies on Workato, including designing agentic automation solutions, advising on current approaches and best practice, scoping AI agent implementations, and helping customers move from proof of concept to production grade autonomous systems. Second, agentic customer success platform, an internal initiative: act as a core architect and developer on Workato's autonomous customer success agent, a production grade system that captures complete customer context to support reasoning and compounds intelligence over time. Location is Hyderabad. As with Workato's other listing in today's edition, do not read the company's remote worker accolade in the boilerplate as a statement about this role, because no remote terms are given for it. No interview process is published. Fit note: the split mandate is the thing to interrogate at interview. Dual role postings sometimes settle into one half in practice, usually the customer facing one, since that is where the immediate pressure sits. Ask how the previous holder or the team currently spends their time, and what happens to the internal build work in a busy quarter.
The posting publishes no years of experience figure, so our experience field is empty and this role will not appear under any experience filter here. It describes the level instead as a database senior technical lead operating as an individual contributor, with deep expertise in MySQL and strong working knowledge of MongoDB, PostgreSQL and Cassandra. Day to day, as the posting numbers them: end to end ownership of MySQL databases in production and staging covering availability, performance and reliability; architecting, managing and supporting MongoDB, PostgreSQL and Cassandra clusters for scale and resilience; defining and enforcing backup, recovery, high availability and disaster recovery strategies across all critical database platforms; driving database performance engineering including query tuning, schema optimisation, indexing and partitioning for high volume workloads; owning replication, clustering and failover architectures for business continuity; championing automation and AI driven operations including self healing scripts, predictive scaling and proactive monitoring; collaborating with cloud and DevOps teams on AWS database services including RDS, Aurora, DynamoDB, EC2 and S3 to optimise cost, security and performance; establishing monitoring dashboards and alerting for slow queries, replication lag, deadlocks and capacity planning; ensuring compliance and security standards including encryption and auditing; leading incident management and on call rotations to minimise mean time to recovery; and contributing to database roadmaps and automation strategy. The posting says the role leads by example and partners with DevOps, site reliability and product engineering teams. Location is Noida. No office day count and no interview process are published. Fit note: on call is explicitly part of this role. At payments scale that is a meaningful commitment, so ask about rotation size and escalation practice.
The posting publishes no years of experience figure, so our experience field is empty and this role will not show under any experience filter here. The requirements are listed as educational qualifications and read as foundational rather than senior, despite the Senior title. Required: good knowledge of the Linux environment with an idea of shell scripting; good knowledge of SQL; basic knowledge of AWS; basic knowledge of Java; REST API working experience sufficient to execute curl, analyse requests and responses and interpret HTTP codes; and familiarity with common networking protocols including DNS, HTTP and HTTPS, SSH, FTP and SMTP, and their use cases. Day to day: troubleshoot, debug, evaluate and resolve customer impacting issues with a focus on detecting patterns, and work with engineering, development and product teams to eliminate defects. The posting states the role needs a combination of strong troubleshooting, technical, communication and problem solving skills, and says directly that you will need to hit the ground running and work on disparate and overlapping tasks. Location is Noida. No office day count, no shift pattern and no interview process are published, though production support roles at payments companies commonly involve shift or on call coverage, so ask about that specifically. Fit note: read this as production support engineering rather than product development. The skill list is genuinely accessible and the absence of a years requirement may make it one of the more open doors in today's edition, but you should confirm the expected level on the first call, because Paytm's title conventions do not always match the requirement list. If you are early in your career and comfortable in Linux and SQL, it is worth asking.
The posting publishes no years of experience figure, so our experience field is empty and this role will not appear under any experience filter here. Required: passion for AI, technology and ElevenLabs products; enjoyment of working directly with customers, iterating on solutions and providing tailored support; a talent for identifying patterns that can be standardised and scaled; strong empathy for customers, sales and product teams; a strong technical background sufficient to help customers architect integrations between ElevenLabs and their existing systems; experience working with customers, and the posting states that customer experience gained in student clubs or side projects is acceptable as long as you are interested in working closely with customers in a technical capacity; proficiency in Python including a deep understanding of software development, software architecture and common integration patterns; and excellent communication with the ability to adapt messaging to different audiences. Day to day: collaborate with account executives to strengthen the technical side of the sales process; work directly with technical contacts at customers and prospects to provide bespoke support and architect solutions; craft technical demonstrations that communicate the product's value; create technical enablement resources for the sales team; build self service tools and documentation so customers can implement independently; and identify opportunities to turn common integration patterns into product features, working with product teams to ship them. Location and working arrangement: the posting states this role is remote but candidates must be in India, and carries an explicit remote tag. That is a clear statement rather than an inferred one. ElevenLabs describes a high velocity culture with lean autonomous teams, says it does not use job titles internally and focuses on impact, and expects AI to be used across the company. No interview process is published. Fit note: the Python requirement is real, so this is not a non technical customer role.
The posting publishes no years figure, so our experience field is empty and this role will not appear under any experience filter here. It asks instead for experience in a customer facing technical role focused on pre sales. Required: professional software engineering experience in at least one language such as JavaScript or TypeScript, Python or Rust, with the ability to build proofs of concept and tools that real users run. Fluency in an additional Asian language such as Japanese, Korean, Mandarin or Hindi is listed as desirable. Stated objectives, which the posting sets out concretely: act as technical owner for several opportunities and expansions within strategic accounts; close at least one complex technical win with measurable revenue impact; and lead one customer architecture workshop that documents a reference approach. Day to day: win complex technical evaluations, design clear solution paths and drive repeatable adoption for strategic accounts, partnering long term across discovery, proof of concept, production launch and expansion. The posting notes that strategic account executives do not hand off customers after the first sale, so while the role is focused on pre sales you will often step into post sales work where continuity matters. Location and working arrangement: the posting states the role is based out of India and will service the APAC region, describes the team as remote across APAC with periodic regional meetups, and says you should be based in an APAC time zone with strong overlap to customer business hours across East Asia, Southeast Asia and Australia and New Zealand. So it is remote, but with regional hour expectations attached. Deepgram states an AI first operating rhythm, expecting every team member to actively use and experiment with advanced AI tools, and says performance is measured partly on how effectively AI is applied. It also warns directly that the role may not suit someone seeking something highly prescriptive with a traditional nine to five. No interview process is published.
The posting publishes no years of experience figure anywhere in its qualifications, so our experience field is empty and this role will not appear under any experience filter here. The minimum qualifications open with a foundational understanding of AI and machine learning technologies and experience leveraging, securing or positioning AI driven solutions within your domain, which Zscaler now includes across postings, followed by significant experience as a senior detection engineer leading complex detection strategies and mentoring junior team members, and expertise validating detection logic and performing root cause analysis of failures. Day to day: combine threat research and engineering expertise to develop advanced detections and hunting logic using Python and AWS infrastructure; design, scale and maintain engineering projects including GitLab pipelines and repeatable deployment steps to improve hunting efficiency; develop YAML based detections and SIGMA like rule technologies while migrating existing hunting detections to next generation systems; use data platforms including Hadoop, Athena and data lakes to monitor and test new intelligence sources for enhanced threat visibility; and independently write detections and playbooks while supporting operational demands. Location and office reality: the posting states this is a hybrid role in Pune, reporting to a Senior Manager in the threat hunting department. The number of office days is not specified. Pune is worth noting given how Bangalore heavy this board usually is. One judgment call we are disclosing: the qualifications mention mentoring junior team members. There is no reporting line, hiring or performance review language anywhere in the posting, so we read that as senior technical mentorship and published this as an individual contributor role. If that distinction matters to you, confirm it early. No interview process is published.
Read this before you apply
- Remote is 5 of 41, and we read every one out of the posting body rather than trusting the tag. Fivetran's dbt Core role is the standout because it is engineering rather than customer facing. Twilio's Technical Support Engineer 2 is genuinely remote but only in Karnataka, Maharashtra, Tamil Nadu, Telangana and Delhi, and it is shift work. ClickHouse's Partner Solutions Architect is remote first within India but carries 20 to 30 percent travel. ElevenLabs states the role is remote but you must be in India. Deepgram is remote from India covering APAC, so expect East Asia and Australia hours.
- The entry level floor today is 1 to 3 years, and the role that sets it is developer relations. Sarvam's Developer Relations Engineer asks for 1 to 3 years as a software engineer, developer advocate or in a technical content role, with real code shipped to real users. It is genuinely part engineering and part writing, and the posting says so. If you want to build product all day, it is the wrong door, even though it is the lowest bar here.
- Six roles publish no years figure at all , so they sit in no experience band on the page. We would rather leave the field blank than invent a number. Two of them are worth a look anyway: Paytm's Senior TechOps Engineer lists genuinely foundational requirements (Linux, SQL, basic AWS and Java, curl and HTTP), and ElevenLabs says outright that customer experience from student clubs or side projects counts. Neither states a years bar, so ask on the first call rather than ruling yourself out.
- Okta, Tekion and Everpure are 5 roles each, and that is deliberate. They are different teams, not the same job listed five times: Okta spans product analytics, documentation platform, macOS client engineering, privileged access and pre sales. Tekion spans QA, full stack, two different data engineering seats and integration architecture. Everpure spans hardware test, AI platform engineering, SSD firmware and two customer facing systems engineering roles. Read the team, not the title.
- Two Everpure roles were dropped because the title lies in the other direction. Both are posted as Member of Technical Staff, which reads as an individual contributor title, and both open by describing a team lead over a group of engineers. If you are filtering for IC work at this employer, read the role summary line rather than the title.
- Okta's Solutions Engineer requires you to work Eastern Time, and Postman moves to five office days a week by year end. Both are stated in the postings and both are lifestyle decisions rather than details. The Okta role is onsite in Bengaluru on top of the US hours.
- It is not all Bangalore today. Tekion has two roles in Chennai, including the second lowest experience bar on the board. There are four in Pune, two in Noida, two in Hyderabad and one in Mumbai.
We read every posting by hand before it goes on this page. The same write-up goes out to the daily email.